Informs Annual Meeting 2017

POSTER SESSION

INFORMS Houston – 2017

Tuesday, 12:30 - 2:30PM

7 - Scheduling Optimization of Local Farmers sefakor Fianu, North Carolina A&T.State University, 1601 E.Market St, Greensboro, NC, 27411, United States, sfianu@aggies.ncat.edu, Lauren Berrings Davis Local farmers face challenges such as; seasonality, transportation, food safety, and packaging requirements that prevent them from meeting the demand of institutions like universities. This research is part of the University Food Systems project aimed at connecting local farmers and universities in North Carolina. We solve the transportation problem by developing weekly schedules that minimizes the distance traveled by farmers to drop off their produce at crossdocking facilities. The schedules addresses capacity, collection frequency and food spoilage constraints. 8 - Efficiency Analysis of Basic Public Health Care Units that Operate under Brazilian Unified Health System Carlos Ernani Fries, Associate Professor, Federal University of Santa Catarina, Caixa Postal 5185, Florianopolis, 88040-970, Brazil, carlos.fries@ufsc.br, Eduardo W. Benvenuti, Ricardo F. Giglio The UBSs (basic health units) play a fundamental role in guaranteeing integral health care in Brazil. However, economic flutuations and federal government financial difficulties have imposed challenges in order to maintain public health care services. This work aims at contributing to better managerial practices focusing on improvements in the basic health care services. We have applied statistical techniques and DEA models in data from a medium-sized city. Results suggest characteristics that might have influence on the UBSs’ efficiencies and the potential to guide other cities to perform systematic efficiency evaluations in their health services, thus facilitating better resource usage. 9 - A Robust Optimization Model for an Invasive Species Management Problem Nahid Jafari, Assistant Professor, SUNY, Farmingdale, 2350 Broadhollow Road, Farmingdale, NY, 11550, United States, jnahid@hotmail.com Invasive species pose a significant threat to global biodiversity. Managing invasive species often involves modeling the species’ spread pattern, estimating control costs and damage costs due to the invasion, designing control efforts, and accounting for uncertainties in model parameters. Dealing with uncertainty is the most important part of the process, since biological, environmental, and economic factors can cause parameter values to vary greatly. We present a robust spatial optimization model (an integer programming model) to select treatment sites in a way that maximally reduces the size of an invasive population, given a constraint on financial resources.0 12 - System Monitoring with Sensor Time Series Data from Manufacturing Process Youngseon Jeong, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, Korea, Republic of, youngseonjeong@gmail.com This research proposes a new statistical process control procedure for time series data having systematic variations of curves at local regions. To monitor possible systematic changes of curves at certain local regions, in this paper, we use the selected coefficients in the wavelet domain. Evaluation with real-life data sets shows that the proposed procedure performs better than several techniques extended from methods based on single-curve-based data reduction. 11 - VMT Impact of Shared Autonomous Vehicle in Orange County, California: Simulation Approach Jae Young Jung, Operations Research Scientist, Ford Motor Company, 15403 Commerce Drive South, Dearborn, MI, 48120, United States, jjung22@ford.com, R. Jayakrishnan Although Shared Autonomous Vehicles (SAVs) with self-driving capabilities will have benefits on driving efficiency and traveler convenience, there has been a growing concern about increasing Vehicle-miles traveled (VMT) due to empty hauls with SAVs, limiting the sustainability benefit. First, this simulation study demonstrates SAVs fleet operations in Orange County, California and identifies VMT increase compared to private vehicle usage. Second, the study suggests a ride-share strategy with SAVs and explores the potential benefit of ride-sharing to maximize the SAVs utilization. 12 - A Spatial Analysis for Airport Congestion Fecri Karanki, Research Assistant, North Dakota State University, FARGO, ND, United States, fkaranki@gmail.com In recent years, airport congestion has been a topic of much discussion. This study will show that one of the most important reason of airport congestion is the neighbor airport proximity. While airport capacity is taken as the main reasons for airport congestion, airspace capacity is ignored. However, airports, which are very close with each other, have to share the airspace. Thus, in this study, the capacity of airports is analyzed in 3 factors: gate(terminal), runway and air space. The effects of airspace capacity on congestion will be shown by the proximity between airports. The preliminary results of this study show that less distance between neighboring airports causes more delays at airports.

Tuesday Poster

Exhibit Hall Tuesday Poster Session Poster Session 1 - The Effect of Air-high Speed Railway Joint Transport on Inland Air Harbor Hinterland Si Chen, Southwest Jiaotong University, Chengdu, China, chensi@swjtu.cn, Mi Gan, Mi Gan, Mi Gan, Shuai Yang, Mingfei Wang To estimate the impact of air-high speed railway freight transport in China, we applied the improved gravity model and data visualization to express the changes of strength about inland air harbor appeal to its hinterland. Through the comparison of changes in hinterland intensity and scope of service, the advantage of air-rail intermodality has been proved. 2 - Uncertainty Analysis of Species Distribution Models Xi Chen, University of Texas at Austin, 3500 Greystone Drive, Apt 271, Austin, TX, 78731, United States, carol.chen@utexas.edu Species distribution models (SDM) are commonly used to predict the geographic distributions of animals or plants species. However, most of SDM methodology produces point estimates. We present two strategies for quantifying the uncertainty of maximum entropy SDM methods: a bootstrap method, and an analytic method. We describe both methods, and compare and contrast their performance on two examples of different sizes. Both Dengue importation probability and Aedes aegypti mosquito suitability examples show that the methods generate comparatively the same results and the novel analytic method we introduce is dramatically faster than the bootstrap method. 3 - Investment Plan Against Malicious Attacks on Power Networks: Multilevel Game-theoretic Models with Shared Cognition Hamzeh Davarikia, Research Assistant, University of Arkansas at Little Rock, 2801 S.University Avenue, Little Rock, AR, 72204, United States, hxdavarikia@ualr.edu We developed a tool for utility transmission planners to protect power network from potential attacks. An extended tri-level mixed-integer linear-programming interdiction-model returns the best-protecting strategy. Deception is an integral part of the mathematical model, accomplished by releasing misinformation based on shared cognition theory. In addition, the multi origin-destination model allows the impact of disabled facilities to become transparent. The results from IEEE 24 and 118 Bus Test Systems show the viability of the model, including its capacity to impute the worth of deception. 4 - Value of Information for Systems Inspection Joao Jose de Farias Neto, Doctor, Collective Decisions Ltda., Sao Jose dos Campos, Brazil, joaojfn@ig.com.br The compromise between over-inspection (due to unwarranted fears) and under- inspection (due to excessive confidence) depends on two factors: the reliability level considered as satisfactory and the amount of effort (time and money) worth dedicating. Since inspecting a system means acquiring information about its subsystems, we propose the use of the concept of Value of Information (VoI), to achieve the balance in a rational manner. For that, the joint VoI of sets of subsystems must be evaluated; a special software - VIPDecisions (R) - is presented, that allows it. An example is given as a toy-problem. 5 - A New Linear Programming Algorithm for Big Size Problem Based Direction of Zoutendijk Ivan Derpich, Dr., University of Santiago of Chile, Av Ecuador 3769, Santiago, Chile, ivan.derpich@usach.cl A new algorithm to solve problems of linear programming for big size problems is presented. It is based on directions of Zoutendijk and it presents polynomial complexity. 6 - IPREP: Improving Perioperative Efficiency and Patient Throughput Ged Doyle, Lead Practitioner, University Hospitals Birmingham, Mindelsohn Way, Edgbaston, Birmingham, B15 2TH, United Kingdom, ged.doyle@uhb.nhs.uk, Laura Boyle, Adele Marshall, Anthony Staines The challenge is to reduce delays and ‘silo’ working. The technique involves modelling preliminary patient movement data using SIMUL8 to identify bottlenecks. Discrete Event Simulation has been used to observe the effects of introducing new approaches to improving the patient pathway. A clinical intervention trial will be selected from the DES output.The focus of the research is to establish a cohesive pathway for surgical patients where all the hospital departments work together to ensure improved throughput and efficiency.

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